Add mean-similarity scoring to item-item for implicit
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components
- Dominant language
- Python
- Stars
- 314
- Forks
- 77
- Avg merge
- 4d 6m
- Merged PRs (30d)
- 10
Description
It would be nice to have mean similarity, instead of sum of similarities, as a scoring option for item-item, to de-emphasize popular items in implicit item-item.
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names item-item scoring but no files or tests. Start by locating the item-item implementation and its existing scoring tests, then determine how scoring options are represented and how mean similarity should be specified. Done means the option is supported and covered by tests showing the intended scoring behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100